Quantifying the concentration of banking from 2003-2023 by seeing trends in consolidated assets and merger and acquisition activity of large commercial banks
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Updated
May 9, 2024 - Jupyter Notebook
Quantifying the concentration of banking from 2003-2023 by seeing trends in consolidated assets and merger and acquisition activity of large commercial banks
Lightning ⚡️ fast forecasting with statistical and econometric models.
Welcome to my data analysis projects repository! Here, you'll find a collection of my data analysis projects showcasing my skills in extracting insights from data using various tools and techniques.
Eco Economic Epochs
Work on Bayesian growth mixture models including hidden Markov chains, softmax regression, and applications to psychology and finance data. Model estimation via the No-U-Turn Sampler.
Official mirror of the actively maintained repo on sourceforge
Inferência Causal para os Corajosos e Verdadeiros. Uma abordagem divertida, mas rigorosa, para aprender sobre estimativa de impacto e causalidade.
Statsmodels: statistical modeling and econometrics in Python
Machine Learning My Way (MLMW): a self-study guide for probability, statistics, econometrics and machine learning.
Econometrics lecture notes with examples using the Julia language
This is a collection of projects I have done reflecting my analytical and data visualizations skills.
Материалы по курсам Эконометрика, Эконометрика-2, Анализ временных рядов, Анализ панельных данных в МГИМО МИД России
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Übungen und Hausaufgaben aus dem Kurs Einführung in Python für Data Analytics im Sommersemester 2024 an der HWR Berlin
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal …
MarSwitching.jl: Julia package for Markov switching dynamic models
Beer data clustering and pricing, evidence based pricing with Random Forest.
Common metrics by use-case
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